LangChain4j @langchain4j
Build LLM-powered applications in Java, Quarkus and Spring Boot. Chatbots, agents, RAG and much more! https://t.co/5nBDPenP6l linkedin.com/in/dmytro-liub… Munich, Bavaria Joined June 2023-
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Secondary benefits of having all these different LLMs integrated in @langchain4j, each providing kinda similar services: ✅ easy to build redundancy ✅ rate limits are gone, just switch calls to another provider. (key aspects when building a web app!) 🎇💝
Join us next Monday at 9am EST for Quarkus Insights Ep. 163 as Dimitrios Andreadis @dandreadis & Georgios Andrianakis @geoand86 join us to discuss the latest happenings with LangChain4j, including MistralAI and Easy RAG in Quarkus. buff.ly/3LZiEoV #quarkusinsights
With the release of version 0.12 of Quarkus LangChain4j we introduced advanced integration with Quarkus' new Websockets stack. This makes writing chatbots over websockets absolutely seamless. See docs.quarkiverse.io/quarkus-langch… for more information
first steps with @langchain4j ... I love the simplicity and the power. The code examples get me salivating 😁
So looking forward to the Quarkus Insights #163: Latest in @QuarkusIO @langchain4j youtube.com/live/EeR_8HMFw… via @YouTube
Microsoft announces Phi-3 A Highly Capable Language Model Locally on Your Phone We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing,
NEW RAG benchmark including LLaMa-3 70B and 8B, CommandR, Mistral 8x22b: reddit.com/r/LocalLLaMA/s…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest… https://t.co/IvrwwMRhkU
Exciting update -- Llama-3 full result is out, now reaching top-5 on the Arena leaderboard🔥 We've got stable enough CIs with over 12K votes. No question now Llama-3 70B is the new king of open model. Its powerful 8B variant has also surpassed many larger-size models. What an…
Great stuff! This reminds me of a flow that @IrynaLiubarska and I developed for our IntelliJ IDEA AI-assisted coding plugin a while ago. Apart from the basic features like "explain this code," "refactor this code," and "document this code," we wanted a more systematic way of…
Great stuff! This reminds me of a flow that @IrynaLiubarska and I developed for our IntelliJ IDEA AI-assisted coding plugin a while ago. Apart from the basic features like "explain this code," "refactor this code," and "document this code," we wanted a more systematic way of…
Got inspired by @ZinebBendhiba and @dandreadis’ #DevoxxGR talk “Quarkus meets AI” to try it out myself. Got a locally running LLM integrated in my Java code from scratch with Ollama, @QuarkusIO and Langchain4j in less than an hour! If I can do it, anyone can 😉
Really impressed by @QuarkusIO easy RAG extension: literally zero code, you just put the documents to be ingested in a folder, configure it in a property and you're done. Great job @geoand86! #DevoxxGR docs.quarkiverse.io/quarkus-langch…
The upcoming Llama-3-400B+ will mark the watershed moment that the community gains open-weight access to a GPT-4-class model. It will change the calculus for many research efforts and grassroot startups. I pulled the numbers on Claude 3 Opus, GPT-4-2024-04-09, and Gemini.…
🦙 All Llama3 release details & highlights 8B and 70B sizes: SOTA performance on most benchmarks for both Instruct and Pre-trained. Currently training a 400B+ parameters model which will be released alongside the full Llama3 paper later on: Created a new human evaluation set…
@sinedied in rockstar mode: last second changes for the overbooked workshop (500 bookmarks for the 50 people room) .. it’s accessible here: aka.ms/ws/openai-rag-… @juliendubois @langchain4j @quarkus @JavaAtMicrosoft retweet to get it redone at MS Paris
Hot on the heels of LangChain4j, we releases version 0.11 of the Quarkus LangChain4j extension! x.com/langchain4j/st…
Hot on the heels of LangChain4j, we releases version 0.11 of the Quarkus LangChain4j extension! x.com/langchain4j/st…
What a productive train ride to #DevoxxFR 🤩 Added all available (and more) @langchain4j cloud based LLM's to the #DevoxxGenie (v0.0.6) plugin : @Anthropic @groq @OpenAI @mistral @DeepInfra As a result you can do some heavy lifting dev work in @intellijidea online and offline…
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878 Followers 3 Following OpenPipe: Automatically convert expensive LLM prompts into fast, cheap fine-tuned models. (YC S23)Secondary benefits of having all these different LLMs integrated in @langchain4j, each providing kinda similar services: ✅ easy to build redundancy ✅ rate limits are gone, just switch calls to another provider. (key aspects when building a web app!) 🎇💝
Join us next Monday at 9am EST for Quarkus Insights Ep. 163 as Dimitrios Andreadis @dandreadis & Georgios Andrianakis @geoand86 join us to discuss the latest happenings with LangChain4j, including MistralAI and Easy RAG in Quarkus. buff.ly/3LZiEoV #quarkusinsights
Thank you @marcushellberg for the great talk and demo on building a chat it with @langchain4j at the Toronto JUG!
Full house at #DortmundJUG with @edburns talking about #Azure #OpenAI @langchain4j
If you are interested in #AI I highly recommend this interview of @ylecun by @lexfridman. It emphasizes the importance of open-source collaboration, the safety and ethical considerations of AI. It also explores the societal impact of AI. youtube.com/watch?v=5t1vTL…
Want to know more about ou new AI Endpoints product and how to use it with @QuarkusIO and @langchain4j? Take a look at this blog post: blog.ovhcloud.com/llms-streaming…
With the release of version 0.12 of Quarkus LangChain4j we introduced advanced integration with Quarkus' new Websockets stack. This makes writing chatbots over websockets absolutely seamless. See docs.quarkiverse.io/quarkus-langch… for more information
Meta researchers developed RA-DIT, a fine-tuning method that enhances the performance of large language models (LLMs) using retrieval augmented generation (RAG). Read our summary of the paper in #TheBatch: hubs.la/Q02tRXVK0
Java devs & Generative AI: No more Python! @glaforge shows how to use powerful AI models in Java with tools like LangChain4J. Generate text, translate languages & more - all without Python! #jaxcon #Java #GenerativeAI #GoogleAI
My Java AI assistant demo now has Spring AI and LangChain4j in separate branches to make it easier to add support for additional LLMs as well. Do I know anyone from the Semantic Kernel team that wants to help me add a SK branch? github.com/marcushellberg…
My talks at Montreal and Toronto JUG are fully booked, but there are still a couple of seats available for tonight's meetup at @ottawajug - see you there? meetup.com/ottawa-java-us…
Thanks everyone for attending my session at @jugpaderborn about AI for Java developers featuring Copilots and LangChain4J. Next up @deepu105 speaking about passwordless from @oktadev
Is there a better way to test generative AI apps in Java? Ignasi at @Docker has a good post about using @springboot, @testcontainers, and @langchain4j to build a "validator agent" to check LLM responses in the app. docker.com/blog/testing-g…
I saw my friend (σύντεκνος!) @heinzkabutz presenting on using OpenAI to translate a Cretan book, and it would be interesting to use @QuarkusIO w. @langchain4j instead - clearer/less code and the ability to try different LLMs by just swapping extensions - github.com/quarkiverse/qu…
Thank you @montrealjug! What an engaged crowd and good discussions. Next up: @ottawajug tomorrow 🚂
New AI engineers 😆..After attending all @langchain4j open discussion @marcushellberg nice to meet you and good trip to Ottawa
This happened tonight at @montrealjug. @langchain4j + SB + Vaadin in action 🤖. Thank @marcushellberg for a great talk as usual
This happened tonight at @montrealjug. @langchain4j + SB + Vaadin in action 🤖. Thank @marcushellberg for a great talk as usual
@langchain4j Mixtral8x22B should already be an option within the supported options in LC4J (if my PR is accepted of course 😊)